Zobrazeno 1 - 10
of 22
pro vyhledávání: '"James C. Mathews"'
Autor:
Zehor Belkhatir, Aditi Iyer, James C. Mathews, Maryam Pouryahya, Saad Nadeem, Joseph O. Deasy, Aditya P. Apte, Allen R. Tannenbaum
Publikováno v:
2022 International Conference on Engineering and Emerging Technologies (ICEET).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::20a0f80c613113bcbc92cb4424f2e661
https://doi.org/10.1109/iceet56468.2022.10007100
https://doi.org/10.1109/iceet56468.2022.10007100
Autor:
Maryam Pouryahya, James C. Mathews, Joseph O. Deasy, Saad Nadeem, Arnold J. Levine, Zehor Belkhatir, Allen Tannenbaum
Publikováno v:
Proceedings of the National Academy of Sciences of the United States of America
Significance A major problem in data science is representation of data so that the variables driving key functions can be uncovered and explored. Correlation analysis is widely used to simplify networks of feature variables by reducing redundancies,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8abb194f595ccfe394eadedbe047cc6a
http://europepmc.org/articles/PMC7368249
http://europepmc.org/articles/PMC7368249
Autor:
Maryam Pouryahya, Jung Hun Oh, James C. Mathews, Zehor Belkhatir, Caroline Moosmüller, Joseph O. Deasy, Allen R. Tannenbaum
Publikováno v:
International Journal of Molecular Sciences; Volume 23; Issue 3; Pages: 1074
International Journal of Molecular Sciences, Vol 23, Iss 1074, p 1074 (2022)
International Journal of Molecular Sciences, Vol 23, Iss 1074, p 1074 (2022)
open access journal The development of reliable predictive models for individual cancer cell lines to identify an optimal cancer drug is a crucial step to accelerate personalized medicine, but vast differences in cancer cell lines and drug characteri
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::392a7e07d0425292b62873cd0aa257c5
https://doi.org/10.3390/ijms23031074
https://doi.org/10.3390/ijms23031074
Autor:
Rami S. Vanguri, Kathleen M. Fenn, Matthew R. Kearney, Qi Wang, Hua Guo, Douglas K. Marks, Christine Chin, Claire F. Alcus, Julia B. Thompson, Cheng-Shiun Leu, Hanina Hibshoosh, Kevin M. Kalinsky, James C. Mathews, Saad Nadeem, Travis J. Hollmann, Eileen P. Connolly
Publikováno v:
Clinical breast cancer. 22(6)
Pathologic response at the time of surgery after neoadjuvant therapy for HER2 positive early breast cancer impacts both prognosis and subsequent adjuvant therapy. Comprehensive descriptions of the tumor microenvironment (TME) in patients with HER2 po
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8277c2d8fb046fb06c7070e87fa66910
https://pubmed.ncbi.nlm.nih.gov/35610143
https://pubmed.ncbi.nlm.nih.gov/35610143
Autor:
Joseph O. Deasy, Larry Norton, Zehor Belkhatir, Allen Tannenbaum, Michele Pavon, Maryam Pouryahya, James C. Mathews
Tumorigenesis is a complex process that is heterogeneous and affected by numerous sources of variability. This article proposes a stochastic extension of a biologically grounded tumor growth model, referred to as the Norton–Simon–Massague (NSM) m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7ed2845d4be166b2a07b1e78fda26dcf
http://hdl.handle.net/11577/3380055
http://hdl.handle.net/11577/3380055
Autor:
Allen Tannenbaum, Pedram Javanmard, Maryam Pouryahya, Jung Hun Oh, Zehor Belkhatir, Joseph O. Deasy, James C. Mathews
Publikováno v:
IEEE/ACM Trans Comput Biol Bioinform
The remarkable growth of multi-platform genomic profiles has led to the challenge of multiomics data integration. In this study, we present a novel network-based multiomics clustering founded on the Wasserstein distance from optimal mass transport. T
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::05e736b29d444458dc14f26db954028b
https://pubmed.ncbi.nlm.nih.gov/33226952
https://pubmed.ncbi.nlm.nih.gov/33226952
Publikováno v:
Methods in enzymology. 633
Intrinsic protein properties that may not be apparent by only examining three-dimensional structures can be revealed by careful analysis of mutant protein variants. Deep mutational scanning is a technique that allows the functional analysis of millio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::39a50fa858ba09ccbba7480ba6776e54
https://pubmed.ncbi.nlm.nih.gov/32046848
https://pubmed.ncbi.nlm.nih.gov/32046848
Intrinsic protein properties that may not be apparent by only examining three-dimensional structures can be revealed by careful analysis of mutant protein variants. Deep mutational scanning is a technique that allows the functional analysis of millio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7715f62d2da794e256c919a153c48085
https://doi.org/10.1016/bs.mie.2019.11.003
https://doi.org/10.1016/bs.mie.2019.11.003
Autor:
Zehor Belkhatir, Maryam Pouryahya, Larry Norton, James C. Mathews, Joseph O. Deasy, Allen Tannenbaum, Michele Pavon
Publikováno v:
CDC
Tumorigenesis is a complex process that is heterogeneous and affected by numerous sources of variability. This study presents a stochastic extension of a biologically grounded tumor growth model, referred to as the Norton-Simon-Massague (NSM) tumor g
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::03c22f355a694b8f23f4a491da8b9734
https://doi.org/10.1109/cdc40024.2019.9029755
https://doi.org/10.1109/cdc40024.2019.9029755
Autor:
Aditya Apte, Aditi Iyer, Joseph O. Deasy, Saad Nadeem, Maryam Pouryahya, Allen Tannenbaum, James C. Mathews, Zehor Belkhatir
The emerging field of radiomics, which consists of transforming standard-of-care images to quantifiable scalar statistics, endeavors to reveal the information hidden in these macroscopic images. This field of research has found different applications
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4bd2d17c5617b7c78c1c1a7189fce2cd